Question-driven learning analytics: Designing a teacher dashboard for online breakout rooms

Stanislav Pozdniakov, Roberto Martinez-Maldonado, Shaveen Singh, Peter Chen, Dan Richardson, Tom Bartindale, Patrick Olivier, Dragan Gasevic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


One of the ultimate goals of several learning analytics (LA) initiatives is to close the loop and support students' and teachers' reflective practices. Although there has been a proliferation of end-user interfaces (often in the form of dashboards), various limitations have already been identified in the literature such as little account for sensemaking needs. This paper addresses these limitations by proposing a question-driven LA design approach to ensure that end-user LA interfaces explicitly address teachers' questions. We illustrate this in the context of synchronous online activities orchestrated by pairs of teachers using audio-visual and text-based tools (Zoom and Google Docs). This led to the design of an open-source monitoring tool to be used in real-time by teachers when students work collaboratively in breakout rooms, and across learning spaces.

Original languageEnglish
Title of host publicationProceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
EditorsMaiga Chang, Nian-Shing Chen, Demetrios G Sampson, Ahmed Tlili
Place of PublicationPiscataway, NJ, United States
Number of pages3
ISBN (Electronic)9781665441063
ISBN (Print)9781665431163
Publication statusPublished - Jul 2021
Externally publishedYes
Event21st IEEE International Conference on Advanced Learning Technologies, ICALT 2021 - Virtual, Online, Malaysia
Duration: 12 Jul 202115 Jul 2021


Conference21st IEEE International Conference on Advanced Learning Technologies, ICALT 2021
CityVirtual, Online

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